Biological and non-biological nanomachines

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Biological and non-biological nanomachines

Biological Machines, Cell Mechanics
and Nanotechnology
王歐力 助理教授
Oliver I. Wagner, PhD
A i t t Professor
Assistant
P f
National Tsing Hua University
Institute of Molecular & Cellular Biology
College of Life Science
What is the simplest molecular machine?
Besides sophisticated ATPase and complex ion channels, there is a very simple “machine” in
the mitochondria: the Citric Acid Cycle (CAC)
 Is the CAC the most simplest and maybe the ancestor of all “biological machines”?
 Since it is based on pure chemical reactions (chemistry evolved long before “biology”)
 These “geochemical” reactions can occur even in very unfavorable conditions
(unfavorable environments other as those on earth)
Citric Acid Cycle: the most ancient biological machine?
In the CAC, the energetic molecule
Acetyl-CoA (two carbon atoms) is
metabolized in CO2 and high-energy
electron carriers (NADH and FADH2).
)
The reductive citric acid cycle behaves like
a chemical hurricane. [Carbon atoms from
CO2 (yellow and orange) attach at either end of
molecules As the cycle proceeds (countermolecules.
clockwise), they are drawn toward the interior
(red) until the molecule splits at the top of the
cycle, creating two smaller molecules (curved
arrow), which then repeat the cycle.]
Protein clusters as macro-biological molecular machines?
Genomics, proteomics and bioinformatics were used to identify active and nonGenomics
active gene- and protein clusters during the development of C. elegans
embryos
Discrete and interconnected gene- and protein clusters are turned on and off
during different developmental stages
Synthetic molecular motors
Biological
Bi
l i l motors
t
offer
ff greatt inspiration
i
i ti ffor
the design of artificial motors to achieve
controlled movement at the molecular level
Rotaxane systems:
• A macrocylce (train) can travel along a
molecular chain (rail) between two stations (0,1)
• Train
Train’s
s position depend on the electron composition
of the stations and train
• Translocation
T
l
i off train
i can b
be achieved
hi
db
by redox
d or
acid/base stimuli as well as photochemically
• Translocation is initiated by protonation of station 0 making the interaction
between train and station repulsive (train moves to station 1 as a result)
• After deprotonation the system relax back to its initial state (train back to station 0)
Schliwa, Molecular Motors, 1st Ed.
Synthetic molecular muscle
• Two linear intertwined rotaxane units can contract and stretch like a muscle
• In the presence of Cu+ the conformation is stretched
• In the presence of Zn2+ the configuration is contracted
Synthetic molecular rotary motors: Catenanes
• Catenanes closely resemble rotaxanes but consisting of two interlocked rings
• One ring is analogous to the train and the other ring can be considered as the rail
• Problem: no unidirectional rotation => statistically only 50% full rotations possible
• However, the problem of unidirectional rotary motion as been solved (not shown)
Molecular muscles
NEMS (Nanoelectromechanical systems) device based on rotaxane coated AFM
cantilevers:
til
redox-driven
d di
contraction/relaxation
t ti / l
ti off rotaxanes
t
results
lt iin a
measureable deflection of the laserbeam
“Magic” movement of an liquid drop by rotaxanes
A monolayer
l
off
rotaxanes (turned
on and off by UVlight)
g ) was able
to move an liquid
drop (1.25 µl)
on a steep surface
Berná et al., Nat. Mater.,
2005
Computer models of non-biological nano-machines
• Many macroscopic machines can be reduced to the nano-level
• Some might work even better (no friction, no wearing/tiring) some might be impossible to
design based on their complexity (e.g., atomic power plant)
• Examples of current modeled nano-constructions are:
• Nano Bearing
• Nano Gear
• Nano Filter
• Nano Pump
• Nano Electromotor/ Nano Car
• Nano Computer (simple I/O)
• A nano-bearing does not need any bearingballs or lubricants
• It works based on strong covalent bonds and weak “van der Waals” repulsive forces
• Simulations are based on reliable software tools already used by Chemists for many years
Macroscopic bearing with bearing
balls embedded in lubricant
Nano-bearings
206 atoms
http://www.e-drexler.com/
2,808 atoms
Computer models of non-biological nano-machines
• Planetary gearing is a gear system that consists of one or more outer gears, or planet gears,
revolving about a central,
central or sun gear
• Planetary gears convert shaft power from one angular frequency to another
Macroscopic planetary gear
Nano planetary gear
http://nanoengineer-1.com/
Computer models of non-biological nano-machines
Nano-pump
p p
http://www.imm.org/research/parts/pump/
Complex nano-machines
• Nano-worm drive assemblyy containing
g
11 components made from 25,374 atoms
• Simulations took 340 hours to complete
(on a regular desk-top computer)
Nano speed gear reducer
15,342 atoms
http://www.e-drexler.com/
Questions, applications critique
• It’s only a matter of time before nanotechnology (combined with MEMS and optofluidics) is
applied to the development of neuroprosthetic devices
devices, artificial retina etc.
etc
• Very far from now perhaps a brain implant using biological molecules to store data can backup human memories (which might otherwise be lost due to degenerative diseases)
• It might be feasible to think of atom-by-atom manufacturing of such components in
nanofactories
• However: The two machines containing about 25,000 atoms, are the most complex simulations
ever created and they haven’t even been built yet!
• By comparison: An ion channel (one of nature’s sophisticated nanomachines) can have a
molecular mass approaching 1
1,000
000 kD
kD, and contains millions of atoms
Nano-car
Movie
dermal.mov
Nano Factory
Movie
NanoFactory.mov
y
http://www.e-drexler.com/
What is nature, what is life, what is a machine?
• Since we are composed of units that can be dissect into parts, modules,
domains proteins and atoms the question might arose: Is life artificial?
domains,
• Protein motors, intercellular sensors, membrane channels, protein scaffolds etc.
leads to an mechanistic understanding of the cell (contrary to vitalist view)
• However: Less fruitful doing
g biological
g
research is to p
pull organisms
g
apart
p and
inspecting them piece by piece (reductionism)
• A distinction between natural and artificial
goes back at least to Aristotle and Plato but
this distinction is becoming increasingly
irrelevant: living organisms look more and
more like machines, and machines look
more and more like living organisms
• The natural/artificial distinction is highly
discussed in religion, genetic engineering,
food production,
production virtual realities
realities, computer
intelligence, medicine etc.
=> here "natural" is mostly considered
beneficial, safe, reliable and trustworthy
while "artificial“ is basically considered
imperfect, immoral, unhealthy, damaging
and dangerous
Raymond Kurzweil’s vision
• Inventor and futurist: optical character recognition (OCR), text-to-speech
and speech recognition technology and electronic keyboard instruments
• Author of several books on artificial intelligence (AI), transhumanism, the
technological singularity, and futurism
• Receiving many awards in including 15 (!) honorary doctoral degrees
• He made many future (technology) predictions while many of them
became surprisingly reality
The technological singularity (predicted 2005):
2010 2020
2010-2020
• $1000 computers will have the same processing power as human brains
• Computers become smaller and increasingly integrated into everyday life (clothes, furniture...)
• Glasses that beam images onto the users' retinas to produce virtual reality (VR)
• VR glasses
l
will
ill also
l h
have b
built-in
ilt i computers
t
ffeaturing
t i "virtual
" i t l assistant"
i t t" programs that
th t can
help the user with various daily tasks (augmented reality)
2020-2030
• Computers less than 100 nm big will be possible
• Nanomachines are used
sed for medical p
purposes
rposes (e.g.,
(e g performing detailed brainscans)
• Nanobots capable of entering the bloodstream to "feed" cells and extract waste (no eating)
• Nanotech-based manufacturing will be in widespread use
• Virtual reality will be so high-quality that it will be indistinguishable from real reality
• A computer is a “Strong AI” and can think like a human
Kurzweil’s prediction of a technological singularity
2030-2040
• Mind
Mi d uploading
l di becomes
b
possible:
ibl T
Transferring
f i and
d copying
i a complete
l t h
human’s
’ mind
i d
• Nanomachines inserted into the brain control incoming and outgoing signals
• As a result, truly full-immersion virtual reality could be generated without the need for any
external equipment. Afferent nerve pathways could be blocked, totally canceling out the "real"
world
ld and
d lleaving
i th
the user with
ith only
l th
the d
desired
i d virtual
i t l experience
i
• Brain nanobots allow humans to greatly expand their cognitive, emotional, memory and sensory
capabilities, to directly interface with computers, and to "telepathically" communicate with other
• “Human body 2.0” consists of a nanotechnological system of nourishment and circulation,
obsolescing
b l
i many internal
i t
l organs, and
d an iimproved
d skeleton.
k l t
• Human body 3.0: lacks a fixed, corporeal form and can alter its shape and external
appearance at will via nanobot-based technology
• People spend most of their time in full-immersion virtual reality
20452045
The singularity
• Singularity occurs when artificial intelligences beat human beings as the smartest and most
capable life forms on the Earth
• Technological
T h l i ld
development
l
t iis ttaken
k over b
by th
the machines
hi
• Machines enter into an uncontrolled reaction of self-improvement cycles, with each new
generation of A.I.s appearing faster and faster
• From this point onwards, technological advancement is explosive, under the control of the
machines,
hi
and
d th
thus cannott b
be accurately
t l predicted
di t d
Kurzweil’s prediction of a technological singularity
• The Singularity is an extremely disruptive, world-altering event that forever changes the
course off human
h
history
hi t
• The extermination of humanity by violent machines is unlikely (though not impossible)
because sharp distinctions between man and machine will no longer exist (thanks to the
existence of cybernetically enhanced humans and uploaded humans)
• A.I.s
A I convertt more and
d more off the
th Earth's
E th' matter
tt iinto
t engineered,
i
d computational
t ti
l
substrate capable of supporting more A.I.s. until the whole Earth is one, gigantic computer
• At this point, the only possible way to increase the intelligence of the machines any farther is
to begin converting all of the matter in the universe into similar massive computers
• A.I.s
A I radiate
di t outt iinto
t space iin allll di
directions
ti
ffrom th
the E
Earth,
th b
breaking
ki d
down whole
h l planets,
l
t
moons and meteoroids and reassembling them into giant computers
• This, in effect, "wakes up" the universe as all the inanimate "dumb" matter (rocks, dust,
gases, etc.) is converted into structured matter capable of supporting life (though synthetic life)
• Machines
M hi
might
i ht h
have th
the ability
bilit tto make
k planet-sized
l
t i d computers
t
b
by 2099
2099, underscoring
d
i h
how
enormously explosive technology will advance after the Singularity
• The process of "waking up" the universe could be complete as early as 2199
• With the entire universe made into a giant, highly efficient supercomputer, AI and human
h b id would
hybrids
ld h
have b
both
th supreme iintelligence
t lli
and
d physical
h i l control
t l over th
the universe
i
i l di
including
clearing the laws of Physics and interdimensional travel
http://en.wikipedia.org/wiki/Ray_Kurzweil
The critiques
Douglas R. Hofstadter:
• "It’s as if you took a lot of very good food and some dog excrement and mix it all up so that
you can't possibly figure out what's good or bad”.
• “It's an intimate mixture of rubbish and g
good ideas, and it's veryy hard to distinguish
g
between
the two, because these are smart people; they're not stupid."
Jaron Lanier (VR pioneer): “cybernetic totalism”
Bill Joy (cofounder of Sun Microsystems): Agrees with Kurzweil's timeline of future progress,
but believes that technologies such as AI, nanotechnology and advanced biotechnology will
create a dark, pessimistic, harmful and depressing (dystopian) world
Pink Floyd (1975)
Welcome to the machine
ATP synthase: A molecular turbine
• Sunlight or nutrients (as glucose) are converted
in the cell to a biologically universal
energy carrier ATP (adenosine triphosphate)
=> the fuel of the cell
• During hydrolysis of ATP to ADP+Pi the cell
can use the released energy to power many
energetically unfavorable processes as:
• Protein synthesis (from amino acids)
• DNA synthesis (from nucleotides)
• Molecule transport along a membrane via
ATP-powered
ATP
powered pumps
• Muscle contraction
• Cytoskeleton-based molecular motors
• Beating of cilia and flagella (moving of
sperm and
db
bacteria)
t i )
Molecular
M
l
l machines
hi
This guy was dreaming about?
In plants ATP is generated in chloroplasts using the photons from the sunlight
In animals ATP is generated in mitochondria by degrading sugars and lipids
ATP is synthesized
in the mitochondrion
3D EM image of a mitochondrion
(computer-generated from series
of 2D EM images)
ATP is synthesized by a rotary nano-pump using the power of an proton
gradient along the membrane (proton-motive force)
ATP synthase
is a sophisticated
rotary nano-pump
(using the power
of proton-motive
force)
How does the ATP synthase (F0F1) work?
• ATPase consists of two major units: F0 and F1
• F0 consists of subunits a (x1),
(x1) b (x2) and c (x10)
• F1 consists of a hexamer composed of  (x3) and
 (x3) subunits as well as of a ,  and  subunits
• The F0 a-subunit contains two proton half-channels:
Proton channel I guides a proton to a c-subunit
c subunit =>
unit turns => proton of a preceding unit is released
=> guided thru half-channel II (released into cytosol)
• The  subunit permanently links the
hexamer to the F0 unit
• Rotation of the c-subunit (and thus the
connected subunits)) causes a conformational
change in the  subunits that catalyzes ATP
synthesis
• The ATPase can make 400 ATPs per second!
((134 rotations per second; one rotation needs
10 protons)
Animation
14_1_ATP_synthase.mov
• Because the rotating F0  subunit is asymmetric, it pushes differently to the F1 β subunit
which thus can appear in 3 different conformations: O, L and T
• O (open) stage binds weakly ADP+Pi (or ATP)
• L (loose) stage binds strongly ADP+Pi
A i ti
Animation
• T (tight) stage favors the chemical reaction ADP+Pi => ATP
1203_ATP_synthesis.swf
http://www.mrc-dunn.cam.ac.uk/research/atp_synthase/movies.php
Animation
2_spheretop.mov
Animation
14 2 ATP synthase disco mov
14_2_ATP_synthase_disco.mov
Noji et al., 1997, Nature
Yasuda et al., 1998, Cell
Simple, but amazing experiment: Making the rotation of the
ATPase visible (in nature and real-time) by sticking an actin
polymer to the -subunit of the F1 complex.
ATPase works reversible:
adding ATP makes it rotate
• Actin filament was fluorescently labeled
• Isolated F1 complex adheres to a glass slide
A i ti
Animation
1203_ATP_synthase_actin.mov
A hybrid nanodevice (nanopropeller)
of F1-ATPase
• Biotin (= Vitamin H) binds strongly to the protein
streptavidin (strongest known ligand-protein
ligand protein
interaction: KD 10-15 = almost covalent properties)
• Negatively charged His binds to positively charged Ni
• Biotin strongly interacts with cys-residues
MEMS engineering of inorganic parts:
Electron beam lithography, metal
evaporation, reactive ion etching
Protein engineering:
Recombinant DNA technology to add
10x His on β subunit and Cys on 
subunit of F1-ATPase
Nanofabrication of single parts for the motor
SiO2 post + Ni cap
With tags
(i t f
(interfaces)
)
modified motor
Nanopropeller
p p
Scheme of
final
assembly
Soong et al., 2000, Science
Real-time recording of nanopropeller rotation
Propellers rotated for almost
2.5 hours
750 nm long
propeller
1400 nm long propeller
1400 nm long propeller
+ sodium azide (NaN3)
Soong et al., 2000, Science
A self-fueled hybrid nanodevice
ATP-regenerating system using bacteriorhodopsin (BR), light and a ATP-synthase
• BR pumps H+ after
absorption of photons
• ATPase uses protongradient
di t to
t produce
d
ATP
from ADPPi
• ATP powers hybrid
nanodevice
• ADPPi diffuses thru
porous nanofabricated
membrane back to
ATPase
Schliwa, Molecular Motors, 1st Ed.
Protein engineered design of an
on/off switch in the F1-ATPase
How tto turn
H
t
the
th motor
t on and
d
off in the constant presence of
ATP supply?
• Engineering “artificial”
artificial allosteric
inhibition sites on the β subunits:
 adding His-tags for binding of
 Zn2+ to suppress conformational
changes during  subunit rotation
• Reversing the effect: adding a
Zinc chelator (phenanthroline)
Allosteric inhibition by Zn2+ stops both, motor and enzyme activity
wt
mut
0 µM
Zn2+
200 µM
Zn2+
Filaments
washed
away
Stable filaments
wt motors
A nano-biomachine powered by highly motile bacteria
• Highly motile gliding bacteria Mycoplasma mobile pulled on a
microrotor fueled byy g
glucose
• Achieving of unidirectional movement:
 Asymmetric floating of cells into the circular track
 Glycoprotein coating on track-bottom required for cell attachment
 Restricting biotin-labeled bacteria movements to streptavidincoated rotor
Drop bacteria
solution here
Rotor placed in ring in a 2nd step
Cells
enter
ring
A nano-biomachine powered by highly motile bacteria
Speed: 3 rpm
16 Nm
Torque: 2
2-5
5 x 10-16
Nm
Stall force: 27 pN
Movie
Movie
bacteria powered microrotor.mov
bacteria powered microrotor_B.mov
7.5 µm
The nuclear pore: a molecular filter
The nuclear pore: a molecular filter
AFM
EM
The nuclear pore: a molecular filter
How the molecular sieve works:
• The nuclear pore complex (NPC) is a
complicated structure containing about
30 different proteins (nucleoporins)
• The central channel is filled with
filamentous hydrophilic polypeptides
• The polypeptides contain hydrophobic
regions (FG-repeats = Phenylalanine/Glycin)
• These structures are able to constantly
and rapidly re
re-arrange
arrange acting as a sieve
for small molecules
• A nuclear transporter can interact with
the FG-repeats shuttling other molecules
Animation
IntoTheNucleus.mov
http://sspatel.googlepages.com/nuclearporecomplex2
The protein nano-factory
How to make a protein?
• Construction
C
t
ti plan
l off the
th proteins
t i
is encoded in the DNA
• DNA is protected inside the nucleus
• Because proteins are made outside of
th nucleus
the
l
iin th
the llarger cytosolic
t
li space:
 Copy of DNA is made = mRNA
 Process is called transcription
• From mRNA code proteins are produced
i th
in
the ribosome-factory
ib
f t
= translation
t
l ti
DNA and RNA are both linear polymers composed of nucleotides (also called bases)
Transcription is powered by a
complicated molecular machine:
Th RNA polymerase
The
l
RNA polymerase is a copy machine:
It moves along the (double stranded)
DNA and makes an exact (single
stranded) copy (= mRNA)
3 steps:
1) Complicated initiation step
2) Elongation (3’ -> 5’)
3) Termination (RNA released)
The RNA polymerase is
macromolecular machine
with a difficult design
• DNA is clamped between two subunits and
the double helix is opened
• Then a copy from a single DNA strand
is made into a single strand RNA
Single molecule methods to study DNA/RNA motors
Immobilized DNA/RNA motor
shortens or lengthens the
DNA/RNA that can be detected
by bead displacements
DNA or RNA is first stretched by a bead
using
g optical
p
traps,
p magnetic
g
beads or
hydrodynamic flow
Seidel and Dekker, 2007, Curr. Opin. Struct. Biol.
Direct motor movement
on stretched DNA/RNA
can be detected byy
attaching a fluorescently
labeled bead
Detection of single base pair stepping by E. coli RNA polymerase
Two optical traps:
• One holds the DNA
with strong force, the
other holds the RNAP
with
ith weak
k fforce
• If RNAP moves, the
attached bead is
displaced
p
((to the right)
g )
Recorded single base
pair steps of RNAP
Single molecule methods to study DNA/RNA motors
Seidel and Dekker, 2007, Curr. Opin. Struct. Biol.
TheScientist
December 2009 issue
“ If you look at mechanical
signaling, it is about 30 m/s.
This is faster then any speedboat and second only to
electrical signaling (e
(e.g.,
g nerve)
nerve).
By comparison, small chemicals
move by diffusion only 2 μm/s
(compared to a very slow row
boater).
Mechanical stimulation at one
side of the cell can activate
proteins at distant sites 40 times
faster as for a growth factor
would
ld d
do.
It is now very difficult to measure
the mechanical response
p
on cell
with common methods as they
occur within nanoseconds.”
Cell mechanics: physical forces that maintain cell shape
Muscle cells, fibroblast, red blood cells, neurons, egg, sperm, hair cell, retinal cells...
... drawn to same scale
scale.
Bray, Cell Movements, 2nd Ed.
The quantities of cell mechanics
Cells have both, viscous and elastic properties, they behave viscoelastic
Shear stress  = Force per Area or:
[Pa]
Maxwell model of viscoelastic
materials
Strain  = Deformation = x/x0
viscous element
((damper)
p )
elastic element
(force restoring)
Stresss
shearing
a cube
• If a Maxwell material is suddenly strained
(deformed): stresses decay with time
• If we suddenly free the deformation:
elastic element = spring back
viscous element = does not return to its original length
=> Problem: irreversible deformation component
Time
Anatomy of the viscous dashpot: viscous damping
Sheared liquid
Shear stress proportional
to velocity gradient:
Velocity
gradient
• When a fluid is placed between to plates and the upper plate is moved while
the lower plate is stationary a velocity gradient is observed
• The shear stress (F/A) is proportional to this velocity gradient (dv/dx)
• The constant  (êta) of this relation is called the coefficient of viscosity
iscosit
• Because the unit for shear stress is Pa and the unit for the velocity gradient
(= shear rate) is s-1, the unit for the viscosity is Pa  s
The quantities of cell mechanics
Problems of the Maxwell model
Maxwell model of viscoelastic
materials (liquid-type)
viscous element
elastic element
• If a Maxwell material is suddenly stressed:
elastic element = suddenly deform
viscous element = deform with a constant rate
• If material is suddenly released from stress:
elastic element: spring-back to its original value
viscous
i
element:
l
t no change
h
iin d
deformation
f
ti
• Further problem: Maxwell model not ideal for predicting
creep behavior (because it describes the strain relationship
with time as linear))
Stress/Strain curves
Hysteresis
Elastic material
Creep
p is the tendencyy of a solid material to
slowly move or deform permanently under
the influence of stresses
Viscoelastic material
The quantities of cell mechanics
Kelvin-Voigt model describes well the creep behavior of viscoelastic materials
Kelvin-Voigt model of
viscoelastic materials (solid-type)
Strain
creep
E = elastic modulus
(Youngs modulus)
 = viscous modulus
stress relaxation
stress
Spring
p g and dashpot
p in p
parallel
sudden
release
Time
• If we suddenly free the material from strain:
elastic element retard the material back until the deformation become zero
 elastic element resets dash-pot = deformation is reversible
• Further: model better for describing creep behavior
• Problem: model not good to describe stress relaxation (here too continuous)
The quantities of cell mechanics
SLS model describes well the creep and stress relaxation of viscoelastic materials
Standard-Linear-Solid
(SLS) model of
viscoelastic materials
Strain
creep
stress relaxation
stress
Time
SLS model describes well creep and (discontinuous) stress relaxation
Is the cell a solid or a liquid?
The quantities of cell mechanics
Storage and loss modulus describing elastic and viscous behavior of cells
(temporal derivative of strain)
• Elasticity of biopolymer networks allows them to resist deformation like a spring
 energy of deformation is stored regardless of time: storage modulus G´
• Viscous behavior of biopolymer networks allows them to flow as a fluid:
 resistance depends on the rate of deformation (like in a dashpot)
 energy put into deformation: dissipated or lost: loss modulus G´´
Rheology: determination of viscoelastic properties of liquids
• Rheo = flow (Greek) = measuring the flow of liquids
• Most popular: cone-plate or plate-plate rheometer = liquid placed between 2 plates
• Upper plate rotates at defined speed and angle = shear rate (velocity per distance)
• Upper plate also measures the resistance (response) of the fluid to applied shear
by measuring the torque ((= twisting force) = shear stress (F/A)
Oscillating cone or plate
Fixed plate
v
y
Shear rate:
velocityy p
per
distance
(distances
between plates)
velocity gradient
Range of elastic moduli of cells compared with metals, ceramics and polymers
Strain/stress plot for different tissues
• To stretch (strain) skin tissue, a considerable amount of force (stress) is needed
• Muscle tissues can be deformed (strain) easily using only low forces (stress)
• Brain tissue does not show any elastic behavior (negligible strain/stress features)
Discher et al., Science, 2005
Methods to measure the mechanical properties of cells
Cell in rheometer